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Superiority of gas chromatography/tandem mass spectrometry assay (GC/MS/MS) for estradiol for monitoring of aromatase inhibitor therapy

  • Richard J. Santen
  • , Lawrence Demers
  • , Susan Ohorodnik
  • , J. Settlage
  • , Peter Langecker
  • , D. Blanchett
  • , Paul E. Goss
  • , Shuping Wang

Research output: Contribution to journalArticlepeer-review

Abstract

Currently available radioimmunoassay methods for estradiol in serum lack sufficient sensitivity and precision to monitor estradiol levels in patients placed on third generation aromatase inhibitors. We recently validated a gas chromatography/tandem mass spectrometry assay (GC/MS/MS) for estradiol and determined estrogen levels in normal post-menopausal women and in women with breast cancer before and during administration of aromatase inhibitors. Validation of the GC/MS/MS assay in human plasma and human serum included determination of assay sensitivity (<0.63 pg/ml), precision (all CVs less than 17.8%), recovery (98-103%), and linearity of recovery (R = 0.998). Levels of estradiol were lower when assayed by GC/MS/MS compared to RIA under all conditions (7.26 ± 4.82 pg/ml versus 11.9 + 12.0 pg/ml in normal post-menopausal women; 5.88 ± 3.43 pg/ml versus 13.8 ± 7.5 pg/ml in breast cancer patients prior to treatment; and < 0.63 pg/ml versus 5.8 ± 4.1 pg/ml during aromatase inhibitor therapy). Fifty-five women treated either with atamestane/toremiphene or letrozole/placebo were monitored for estradiol levels at 4, 8 and 12 weeks of therapy. The mean levels of estradiol during aromatase inhibitor therapy was 5.8 ± 4.1 pg/ml as measured by RIA and <0.63 pg/ml by GC/MS/MS. The degree of suppression with the aromatase inhibitors as detected by RIA was 58% versus >89% by GC/MS. These results suggest that most RIA methods detect cross-reacting estrogen metabolites and yield higher measured levels than GC/MS/MS. Several pharmacological and clinical considerations suggest that GC/MS/MS should become the preferred method for monitoring aromatase inhibitor therapy.

Original languageEnglish (US)
Pages (from-to)666-671
Number of pages6
JournalSteroids
Volume72
Issue number8
DOIs
StatePublished - Jul 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Biology
  • Endocrinology
  • Pharmacology
  • Clinical Biochemistry
  • Organic Chemistry

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